Jochen Heinsohn
- Artificial Intelligence top 10%
- Management Science and Operations Research top 10%
- Computational Theory and Mathematics top 10%
- Computer Networks and Communications
- Information Systems
- Co-authors
- Erhard SchweckeRudolf KruseHans-Jürgen ProfitlichGerhard PaaßBernhard NebelJürgen MüllerFranz BaaderHans-Jürgen Bürckert
- Topics
- Semantic Web and Ontologies (4 papers)Natural Language Processing Techniques (3 papers)linguistics and terminology studies (2 papers)
- Journals
- Artificial IntelligencePublikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft)Publications of the UdS (Saarland University)
- Partner nations
- Germany
In The Last Decade
Jochen Heinsohn
8 papers receiving 198 citations
Peers
Comparison fields: 5 of 49
- Artificial Intelligence 177
- Management Science and Operations Research 51
- Computational Theory and Mathematics 43
- Computer Networks and Communications 41
- Information Systems 39
Countries citing papers authored by Jochen Heinsohn
This map shows the geographic impact of Jochen Heinsohn's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jochen Heinsohn with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jochen Heinsohn more than expected).
Fields of papers citing papers by Jochen Heinsohn
This network shows the impact of papers produced by Jochen Heinsohn. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jochen Heinsohn. The network helps show where Jochen Heinsohn may publish in the future.
Co-authorship network of co-authors of Jochen Heinsohn
This figure shows the co-authorship network connecting the top 25 collaborators of Jochen Heinsohn. A scholar is included among the top collaborators of Jochen Heinsohn based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Jochen Heinsohn. Jochen Heinsohn is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 1 | |
| 3 | 4 | |
| 4 | 6 | |
| 5 | European Conference on Symbolic and Quantitative Approaches for Uncertainty. | 13 |
| 6 | A Probabilistic Extension for Terminological Logics. | 1 |
| 7 | 113 | |
| 8 | Uncertainty and Vagueness in Knowledge Based Systems: Numerical Methods | 55 |
| 9 | 44 |
About Jochen Heinsohn
Jochen Heinsohn is a scholar working on Language and Linguistics, Artificial Intelligence and Control and Systems Engineering, having authored 9 papers that have together received 238 indexed citations. Recurring topics across this work include Semantic Web and Ontologies (4 papers), Natural Language Processing Techniques (3 papers) and linguistics and terminology studies (2 papers). The work is most often cited by research in Artificial Intelligence (177 citations), Management Science and Operations Research (51 citations) and Signal Processing (34 citations). Jochen Heinsohn has collaborated with scholars based in Germany. Frequent co-authors include Erhard Schwecke, Rudolf Kruse, Hans-Jürgen Profitlich, Gerhard Paaß, Bernhard Nebel, Jürgen Müller, Franz Baader, Hans-Jürgen Bürckert, Werner Nutt and Bernhard Hollunder. Their work appears in journals such as Artificial Intelligence, Publikationsdatenbank der Fraunhofer-Gesellschaft (Fraunhofer-Gesellschaft) and Publications of the UdS (Saarland University).
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.